Jun Zhu

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Hang SuAssociated Professor, Tsinghua UniversityPatvirtintas el. paštas mail.tsinghua.edu.cn
Yinpeng DongTsinghua UniversityPatvirtintas el. paštas mails.tsinghua.edu.cn
Tianyu PangResearch Scientist, Sea AI LabPatvirtintas el. paštas sea.com
Chongxuan LiAssistant Professor, Renmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UPatvirtintas el. paštas cs.cmu.edu
Jianfei ChenAssistant Professor, Tsinghua UniversityPatvirtintas el. paštas mail.tsinghua.edu.cn
Ning ChenAssistant Researcher, Tsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Xiaolin HuAssociate Professor of Computer Science and Technology, Tsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Ji-Rong WenRenmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
Shixia LiuProfessor, Tsinghua University, IEEE FellowPatvirtintas el. paštas tsinghua.edu.cn
Zhijie DengTenure-track Assistant Professor, Shanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Jiaxin ShiResearch Scientist, Google DeepMindPatvirtintas el. paštas google.com
Wei-Ying MaTsinghua UniversityPatvirtintas el. paštas air.tsinghua.edu.cn
Chang LiuMicrosoft Research AI4SciencePatvirtintas el. paštas microsoft.com
Amr AhmedSenior Staff Research Scientist, Google AIPatvirtintas el. paštas google.com

Stebėti

Jun Zhu

Professor of Computer Science, Tsinghua University

Patvirtintas el. paštas mail.tsinghua.edu.cn - Pagrindinis puslapis

Machine Learning Bayesian Methods Deep Generative Models Adversarial Robustness Reinforcement Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Boosting adversarial attacks with momentum Y Dong, F Liao, T Pang, H Su, J Zhu, X Hu, J Li CVPR (arXiv preprint arXiv:1710.06081, 2017), 2018	2046	2018
Defense against adversarial attacks using high-level representation guided denoiser F Liao, M Liang, Y Dong, T Pang, J Zhu, X Hu CVPR (arXiv preprint arXiv:1712.02976), 2018	747	2018
Adversarial Attack on Graph Structured Data H Dai, H Li, T Tian, X Huang, L Wang, J Zhu, L Song ICML (arXiv preprint arXiv:1806.02371), 2018	600	2018
Spatio-temporal backpropagation for training high-performance spiking neural networks Y Wu, L Deng, G Li, J Zhu, L Shi Frontiers in neuroscience 12, 331, 2018	599	2018
MedLDA: maximum margin supervised topic models for regression and classification J Zhu, A Ahmed, EP Xing Proceedings of the 26th annual international conference on machine learning …, 2009	538	2009
Evading defenses to transferable adversarial examples by translation-invariant attacks Y Dong, T Pang, H Su, J Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	507	2019
Towards Better Analysis of Deep Convolutional Neural Networks M Liu, J Shi, Z Li, C Li, J Zhu, S Liu IEEE Transactions on Visualization & Computer Graphics, 2016	495	2016
Triple Generative Adversarial Nets C Li, K Xu, J Zhu, B Zhang NIPS (arXiv preprint arXiv:1703.02291), 2017	472	2017
Stochastic Training of Graph Convolutional Networks J Chen, J Zhu ICML (arXiv preprint arXiv:1710.10568), 2018	445*	2018
Direct training for spiking neural networks: Faster, larger, better Y Wu, L Deng, G Li, J Zhu, Y Xie, L Shi Proceedings of the AAAI conference on artificial intelligence 33 (01), 1311-1318, 2019	388	2019
Statsnowball: a statistical approach to extracting entity relationships J Zhu, Z Nie, X Liu, B Zhang, JR Wen Proceedings of the 18th international conference on World wide web, 101-110, 2009	385	2009
Towards better analysis of machine learning models: A visual analytics perspective S Liu, X Wang, M Liu, J Zhu Visual Informatics 1 (1), 48-56, 2017	348	2017
Improving adversarial robustness via promoting ensemble diversity T Pang, K Xu, C Du, N Chen, J Zhu ICML (arXiv preprint arXiv:1901.08846), 2019	347	2019
Efficient decision-based black-box adversarial attacks on face recognition Y Dong, H Su, B Wu, Z Li, W Liu, T Zhang, J Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	304	2019
Explainable AI: A brief survey on history, research areas, approaches and challenges F Xu, H Uszkoreit, Y Du, W Fan, D Zhao, J Zhu Natural Language Processing and Chinese Computing: 8th CCF International …, 2019	287	2019
Adversarial attacks and defences competition A Kurakin, I Goodfellow, S Bengio, Y Dong, F Liao, M Liang, T Pang, ... The NIPS'17 Competition: Building Intelligent Systems, 195-231, 2018	280	2018
Pre-trained models: Past, present and future X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ... AI Open 2, 225-250, 2021	275	2021
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning Y Luo, J Zhu, M Li, Y Ren, B Zhang CVPR (arXiv preprint arXiv:1711.00258), 2018	252	2018
Simultaneous record detection and attribute labeling in web data extraction J Zhu, Z Nie, JR Wen, B Zhang, WY Ma Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006	249	2006
Dino: Detr with improved denoising anchor boxes for end-to-end object detection H Zhang, F Li, S Liu, L Zhang, H Su, J Zhu, LM Ni, HY Shum arXiv preprint arXiv:2203.03605, 2022	211	2022

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